Role Description We are seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities - Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. - Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. - Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. - Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. - Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. - Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. - Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. - Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. - Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. - Drive cost optimization and capacity planning across the data platform estate. - Design disaster recovery, multi-region, and high-availability strategies for critical data assets. - Mentor data engineers and architects on platform standards and emerging best practices. - Produce architecture artifacts including context diagrams, decision records, and reference patterns. - Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. - Eight or more years of experience in data engineering, with significant time in architecture roles. - Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. - Strong understanding of lakehouse architectures, modern table formats, and streaming systems. - Hands-on experience with Spark, Flink, or Kafka at production scale. - Strong data modeling expertise across dimensional, normalized, and data-vault patterns. - Experience implementing governance, lineage, and catalog capabilities. - Solid grasp of cloud platforms, networking, identity, and cost optimization. - Excellent communication, facilitation, and stakeholder management skills. - Track record of leading large data platform initiatives across teams. Preferred Qualifications - Experience with data mesh or data product architectures. - Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. - Exposure to regulated industries with strict data residency or audit requirements. - Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). - Public talks or writing on data architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description - 8+ years of industry experience as a client-facing consultant, with strong experience in AEM implementations & understanding in areas: - UI technologies like JQuery, Java Script, HTML 5, CSS. - Technologies like Java EE, Servlets, JSP, Tag libraries, and JSTL skills. - Dispatcher Configuration, Clustering, CRX repository, Workflows, Replication and Performance management. - Application development, distributed application development and Internet/Intranet based database applications. - AEM sites/assets/forms deployment and migration. - AEM Backend Development like Sling Servlets, OSGi Components and JCR Queries. - Core frameworks such as Apache Sling and Apache Felix. - CI/CD tools like Maven, Jenkins. - Code Quality and Security tools like SONAR. - Touch UI, Sightly (HTL) and Sling Models. - Solid experience in problem analysis and resolution of technical problems. - Ability to handle clients professionally during all interfaces. - Experience presenting in front of various Client-side audiences. - Exceptional organizational, presentation, and communication skills - both verbal and written. - Must be self-motivated, responsive, professional and dedicated to customer success. - Possess an innovative, problem-solving, and solutions-oriented mindset. - Demonstrated ability to learn quickly, be a team player, and manage change effectively. Qualifications - Preferably a degree in Computer Science or Engineering. - Past experience in AEM platform and in client-facing role. - Knowledge on latest AEM features and on new cloud technology – AEMaaCS. - Good understanding of integration of AEM with other Adobe DX solutions – Commerce, Campaign, Analytics, Target, Audience Manager etc. - Experience presenting in front of various technical and business audiences. - Ability to work in extended hours to overlap with North America timings. Benefits - Equal employment opportunity (EEO) and affirmative action employer. - Commitment to creating an inclusive workplace.

Title: Technical Architect - Generative AI - Life And Annuities Insurance Location: US, Indiana Job Description: Remote role with potential travel to Indianapolis office or hybrid if residing in Indiana Base salary range: $130-150k with 12% annual bonus This role is designed for a senior technology leader who can shape and drive the architecture vision for Generative AI across the Life & Annuities business. The Technical Architect will play a critical role in transforming insurance operations by identifying automation opportunities, defining scalable AI solution patterns, and ensuring seamless integration across TPA platforms, policy administration systems, underwriting capabilities, and external partner ecosystems. This position requires both strategic thinking and hands-on architectural leadership to deliver secure, compliant, and business-focused AI innovation. Role Overview We are seeking an experienced Technical Architect to lead Generative AI initiatives within the Life & Annuities insurance domain. This role will be responsible for architecting and guiding the implementation of AI-driven solutions that automate and modernize business processes across the TPA ecosystem, including policy administration systems, underwriting platforms, and external integrations. The ideal candidate will combine deep technical architecture expertise with strong domain knowledge in insurance operations, enterprise integration, data governance, and responsible AI adoption. Responsibilities - Lead the end-to-end architecture, design, and technical direction for Generative AI solutions supporting business process automation in the Life & Annuities ecosystem. - Define scalable, secure, and reusable architecture patterns for AI-enabled workflows across policy administration, underwriting, servicing, document processing, and partner integrations. - Partner with business, operations, product, and engineering teams to identify high-value AI use cases and translate them into implementable technical solutions. - Architect enterprise-grade AI solutions using modern patterns such as Retrieval-Augmented Generation (RAG), prompt orchestration, agent-based workflows, vector search, and human-in-the-loop controls. - Design and oversee integrations between AI services and core insurance platforms, TPA systems, underwriting tools, CRM platforms, document repositories, APIs, messaging systems, and third-party data providers. - Establish solution standards for security, privacy, auditability, explainability, observability, and compliance in regulated insurance environments. - Evaluate and recommend appropriate cloud, data, and AI technology stacks, frameworks, and tooling aligned with enterprise architecture standards. - Provide technical leadership to cross-functional delivery teams, including conducting architecture reviews, defining guardrails, mentoring engineers, and resolving complex design challenges. - Drive non-functional architecture requirements including performance, scalability, resiliency, model monitoring, and operational support readiness. - Collaborate with enterprise architecture, security, data, and governance teams to ensure AI solutions are aligned with organizational policies and long-term technology strategy. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. - 10+ years of experience in software engineering, solution architecture, or enterprise architecture, with strong hands-on experience designing complex distributed systems. - 3+ years of experience delivering AI, machine learning, or Generative AI solutions in enterprise environments. - Strong expertise in Life & Annuities insurance processes, especially within TPA ecosystems, policy administration, underwriting, servicing, and external partner integrations. - Demonstrated experience defining architecture for cloud-native applications, APIs, event-driven integration, and enterprise data platforms. - Strong understanding of LLM-based solution patterns, including prompt engineering, RAG, embeddings, vector databases, model orchestration, and AI application security. - Experience working with cloud platforms such as AWS, Azure, or Google Cloud, along with associated AI and integration services. - Strong knowledge of system integration patterns, data privacy, access control, and governance requirements in regulated environments. - Ability to communicate complex technical concepts clearly to business stakeholders, project teams, and senior leadership. - Proven ability to lead architecture decisions, influence technical direction, and collaborate across multiple teams and vendors. Preferred Qualifications - Experience delivering AI-led automation in insurance operations such as intake, underwriting support, correspondence generation, document summarization, and workflow acceleration. - Familiarity with commercial insurance platforms, policy administration systems, workflow tools, and enterprise integration middleware relevant to Life & Annuities operations. - Hands-on experience with AI governance frameworks, model risk controls, content safety, and responsible AI practices. - Experience evaluating and integrating vendor AI platforms, accelerators, and third-party services. - Architecture or cloud certifications such as AWS Solutions Architect, Azure Solutions Architect, or equivalent credentials. - Experience in consulting, client-facing architecture, or leading enterprise transformation programs is a plus.

• Design and lead the implementation of a unified enterprise integration layer that enables canonical business domains, flexible source system extensions, and seamless cross-vertical connectivity • Define and maintain application architecture standards, principles, and best practices across the integration and API engineering organization • Design scalable, secure, and highly available API ecosystems and integration solutions • Lead architecture reviews and provide hands-on technical guidance across engineering teams • Define standards for API design, security, observability, documentation, and lifecycle management • Lead integration strategies across internal applications, ERP, SaaS platforms, enterprise systems, and external partners • Facilitate domain discovery and event storming workshops with business and technical stakeholders • Design and implement event-driven and message-based architectures using Azure Service Bus, Event Hubs, and related technologies • Drive adoption of AI-assisted engineering practices to improve developer productivity, delivery speed, and solution quality • Promote engineering excellence through TDD, Clean Architecture, SOLID principles, and automated quality practices • Lead modernization initiatives and technical debt reduction efforts • Partner with platform teams on CI/CD pipelines, deployment automation, and developer experience • Mentor architects, technical leads, and engineering teams while fostering a culture of innovation and continuous learning • Serve as a trusted advisor for strategic technology investments and modernization initiatives.